Acceler8 Talent
Agent Systems Engineer - San Francisco or Redwood City
A company who are building AI systems with general physical ability are looking for a Senior Agent Systems Engineer to design and implement the planning, orchestration and tool-use behaviors that allow AI Agents to operate complex physical and experimental workflows.
Base pay range $200,000.00/yr - $300,000.00/yr
What Will I Be Doing:
Build agent planners, tool-call flows, and state machines using LangGraph or similar frameworks.
Design schemas, action adapters, and cross-tool interfaces enabling deterministic, traceable LLM tool use.
Develop error handling, timeout strategies, retries, rollbacks, and replay mechanisms for robust agent behavior.
Collaborate with systems architecture, infrastructure, and ML teams to integrate agents into real engineering toolchains.
What We're Looking For:
Strong experience building agent systems, LLM tool-calling pipelines, or structured orchestration frameworks.
Deep understanding of schemas, action abstractions, reproducibility, and deterministic multi-step execution.
Ability to reason about system-level failure modes, edge cases, and safe tool interaction.
Comfortable working across AI, systems, and domain-tooling interfaces in a fast-moving, high-precision environment.
Above all, we’re looking for candidates who demonstrate world-class excellence.
What’s in It for Me
$200k - $300k dependent on experience and meaningful equity
The chance to build foundational agentic infrastructure for physical AI
Ownership of end-to-end, real-world systems that directly drive scientific breakthroughs
A role at the core of a rapidly growing, deeply technical team
The opportunity to define how AI interacts with the physical world
Apply now for immediate consideration!
#J-18808-Ljbffr
Base pay range $200,000.00/yr - $300,000.00/yr
What Will I Be Doing:
Build agent planners, tool-call flows, and state machines using LangGraph or similar frameworks.
Design schemas, action adapters, and cross-tool interfaces enabling deterministic, traceable LLM tool use.
Develop error handling, timeout strategies, retries, rollbacks, and replay mechanisms for robust agent behavior.
Collaborate with systems architecture, infrastructure, and ML teams to integrate agents into real engineering toolchains.
What We're Looking For:
Strong experience building agent systems, LLM tool-calling pipelines, or structured orchestration frameworks.
Deep understanding of schemas, action abstractions, reproducibility, and deterministic multi-step execution.
Ability to reason about system-level failure modes, edge cases, and safe tool interaction.
Comfortable working across AI, systems, and domain-tooling interfaces in a fast-moving, high-precision environment.
Above all, we’re looking for candidates who demonstrate world-class excellence.
What’s in It for Me
$200k - $300k dependent on experience and meaningful equity
The chance to build foundational agentic infrastructure for physical AI
Ownership of end-to-end, real-world systems that directly drive scientific breakthroughs
A role at the core of a rapidly growing, deeply technical team
The opportunity to define how AI interacts with the physical world
Apply now for immediate consideration!
#J-18808-Ljbffr